AI is good or not, that is another question. Nowadays, everyone is using this technology and in these widely-spread conversations, Generative AI has become a topic of discussion. Big fishes in the market are also using Generative AI for business processes to be streamlined and increase efficiency.
To our surprise, the World Economic Forum, this trend will never fade and currently, ¾ th of organizations globally have adopted it. They will continue to use it for their organisational and professional growth in the upcoming years. In this scenario, AWS-providing companies have also started the incorporation of AI. They are helping other companies and industries to access and use Generative AI for their success.
What Do the Experts Say?
The Vice President of Database, Analytics, and Machine Learning at AWS, Swami Sivasubramanian, said in his AWS NYC Summit 2023 keynote, “Generative AI has captured our imaginations [and] this technology has reached its tipping point.”
What is Generative AI?
It is a type of AI where the tools can create content on their own—be it text, image or video; even some prototypes, synthetic datasets, etc. Famous examples of it are ChatGPT, Gemini AI, Claude.ai., etc.
What are they made up of? — Machine Learning Models, popularly known as Foundational Models (FMs).
How do they work? — They are pre-trained using collected patterns and structures of huge amounts of data.
What are their types? — FMs Like GPT models are commonly called as Large Language Models. They usually perform tasks like Content Creation and Information Extraction.
Why and How Customisable? — These FMs have access to large amounts of data and hence, they are capable of learning advanced concepts in order to apply to content accumulation and new content generation processes.
Advantages of Generative AI
- Rich Customer Experiences: These super-effective content-generating bots and virtual assistants are capable of providing astonishing customer experiences, including self-service processes. It also reduces the operational costs. With this, businesses can provide personalised experiences to their customers.
- Employee Efficiency at Its Peak: As these tools are faster and have a lot of data with them, they can help the workforce to fasten their processes of data collection and writing. Right from writing and generating accurate content for professional use to code generation and automatic report generation, they ease the efforts taken by humans.
- Be Creative, Be Unique: Optimization of content is crucial to the website and thereby affecting organizational growth. These generative AI tools have the capability to support creativity and follow uniqueness.
How Can We Blend Generative AI and AWS?
As this field of AI is attractive and has almost spread like good news around the globe, AWS has also not stayed behind in this race. The AWS community is curious to apply AI tools to AWS and for this, they must understand the basic concepts of AI blended AWS. Moreover, AWS professionals must build their knowledge about this concept and increase their skill set to enhance their efficiency.
In conclusion, we can say that to use AI or not to use AI remains an unanswered question. However, using Generative AI for faster and more efficient work conditions is absolutely normal.
